Top Data & Analytics Jobs

Lead solution onboarding and customized client delivery for alternative investment services. Translate business requirements into technical specifications, configure systems, manage reporting and file-extract projects, develop end-to-end test cases, oversee process improvements, analyze client requests, and coordinate with developers, QA, fund accountants, investor services, relationship managers, and external stakeholders.

Designs, builds, and operates scalable batch and streaming data pipelines, ELT/ETL workflows, and cloud data infrastructure. Ensures data reliability, quality, observability, lineage, performance, and cost efficiency across enterprise domains. Partners with analytics engineers, BI teams, and business stakeholders to deliver analytics-ready datasets. Establishes engineering practices including version control, CI/CD, automated testing, infrastructure-as-code, architecture standards, and documentation.

Analyze frontline operations performance across specialists, queues, vendors, and sites. Identify root causes behind SLA, AHT, accuracy, and utilization changes; quantify impacts; monitor emerging issues; and provide actionable recommendations to operations leadership. Define requirements for specialist metrics and dashboards, collaborate with analytics and support teams, explain findings in business reviews, and use AI analytics tools to accelerate investigations.

Architects, builds, and scales data pipelines, ETL processes, data models, and platforms using dbt, Snowflake, Airflow, and Fivetran. Leads data engineering best practices including CI/CD, data quality, governance, and observability. Collaborates with Data Science, Engineering, Product, and business stakeholders; mentors engineers and data scientists; contributes to architecture and technical decisions; and participates in on-call support.

Design and maintain ETL workflows, data models, and pipelines supporting business intelligence and reporting. Work with Redshift, NoSQL, AWS, and data integration tools to ensure reliable, governed data. Build dashboards in Omni, Mode, and Mixpanel, analyze finance and accounting data, and partner with Finance, Product, Operations, and Engineering to translate business needs into actionable insights and promote data-driven decision-making.

Analyzes operational data across repossession, total loss, insurance, and recovery functions to identify trends and improvement opportunities. Develops and maintains Tableau and Excel dashboards, monitors KPIs, prepares performance reports, documents processes, supports special projects, and recommends actions to improve efficiency, service levels, and compliance. Collaborates with business leaders on requirements, process enhancements, and operational issue resolution.

Own Qualitate’s data engineering foundation by building pipelines for structured and unstructured data, designing relational and non-relational data models, and developing AI-powered enrichment workflows. Establish data quality monitoring, integrations, schemas, contracts, lineage, and documentation. Partner with Applied AI, Research, and Engineering while shaping the company’s early data architecture and enabling customer data integrations.

Analyzes financial, operational, pharmacy, clinical, and grant data to support business and clinical outcomes. Maintains data warehouses and reporting systems, designs reports and dashboards, develops automated reporting solutions, identifies process improvements, and presents insights to leadership and staff. The role also gathers stakeholder requirements, applies statistical analysis, and supports data-driven strategic decisions.

Analyze ecommerce and online sales data to optimize pricing, product mix, checkout flows, and the customer funnel. Design and measure A/B tests, build statistical measurement frameworks, create executive dashboards, monitor revenue and growth KPIs, and deliver actionable recommendations to sales, marketing, engineering, analysts, and senior leadership.

Leads the full digital experience research lifecycle, including user interviews, testing, surveys, behavioral analysis, experimentation, and conversion optimization. Defines research and web measurement strategies, analyzes qualitative and quantitative data, builds dashboards and executive presentations, and translates findings into compelling data stories. Partners with marketing, technology, design, product, and development teams to improve global web experiences, while maintaining scalable research documentation and insight repositories.